OpenAI o3-2025-04-16
Rank #1
Power: 6640.77
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💡 What is Model Power?

Model Power = how strong and reliable a model is, based on real people's votes. It combines performance scores with user confidence to give you the most accurate assessment of each model's capabilities.

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Discover which model is the best and most suitable for your specific use cases. Our comprehensive analysis of OpenAI o3-2025-04-16 text generation LLMs reveals the true performance landscape, powered by millions of real user votes and LMarena Pro ranking system. Whether you're building AI applications, content creation, or research projects, find your perfect match from the world's most advanced language models.

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Compare with o3-2025-04-16 best text generation LLMs

📊 Comparison with Top 10 Models

This section compares Rank 1 (o3-2025-04-16) with the top 10 best performing models. The coefficient shows the performance difference: Positive coefficient = Better than Rank 1, Negative coefficient = Worse than Rank 1. Coefficient = (Model Power - Rank 1 Power) / Rank 1 Power × 100

RANK 1
o3-2025-04-16 OpenAI
This is the reference model (Rank #1) - all comparisons are relative to this model
Rank #1
0.00%
gemini-2.5-pro Google
According to user voting, the gemini-2.5-pro model is 0.74% percentage worse for text generation compared to o3-2025-04-16.
Rank #2
-0.74%
chatgpt-4o-latest-20250326 OpenAI
According to user voting, the chatgpt-4o-latest-20250326 model is 1.31% percentage worse for text generation compared to o3-2025-04-16.
Rank #3
-1.31%
gemini-2.5-flash Google
According to user voting, the gemini-2.5-flash model is 3.72% percentage worse for text generation compared to o3-2025-04-16.
Rank #4
-3.72%
grok-3-preview-02-24 xAI
According to user voting, the grok-3-preview-02-24 model is 3.96% percentage worse for text generation compared to o3-2025-04-16.
Rank #5
-3.96%
claude-3-7-sonnet-20250219-thinking-32k Anthropic
According to user voting, the claude-3-7-sonnet-20250219-thinking-32k model is 5.59% percentage worse for text generation compared to o3-2025-04-16.
Rank #6
-5.59%
claude-opus-4-20250514 Anthropic
According to user voting, the claude-opus-4-20250514 model is 5.65% percentage worse for text generation compared to o3-2025-04-16.
Rank #7
-5.65%
gpt-4.1-2025-04-14 OpenAI
According to user voting, the gpt-4.1-2025-04-14 model is 6.19% percentage worse for text generation compared to o3-2025-04-16.
Rank #8
-6.19%
deepseek-v3-0324 DeepSeek
According to user voting, the deepseek-v3-0324 model is 6.64% percentage worse for text generation compared to o3-2025-04-16.
Rank #9
-6.64%
o1-preview OpenAI
According to user voting, the o1-preview model is 7.15% percentage worse for text generation compared to o3-2025-04-16.
Rank #10
-7.15%
Compare with o3-2025-04-16 similar text generation LLMs

📊 Comparison with Similar Performance Models

This section compares Rank 1 with the 5 best models above it (Ranks 1-0) and 5 worst models below it (Ranks 2-6). The coefficient shows the performance difference relative to Rank 1.

RANK 1
o3-2025-04-16 OpenAI
This is the reference model (Rank #1) - all comparisons are relative to this model
Rank #1
0.00%
gemini-2.5-pro Google
According to user voting, the gemini-2.5-pro model is 0.74% percentage worse for text generation compared to o3-2025-04-16.
Rank #2
-0.74%
chatgpt-4o-latest-20250326 OpenAI
According to user voting, the chatgpt-4o-latest-20250326 model is 1.31% percentage worse for text generation compared to o3-2025-04-16.
Rank #3
-1.31%
gemini-2.5-flash Google
According to user voting, the gemini-2.5-flash model is 3.72% percentage worse for text generation compared to o3-2025-04-16.
Rank #4
-3.72%
grok-3-preview-02-24 xAI
According to user voting, the grok-3-preview-02-24 model is 3.96% percentage worse for text generation compared to o3-2025-04-16.
Rank #5
-3.96%
claude-3-7-sonnet-20250219-thinking-32k Anthropic
According to user voting, the claude-3-7-sonnet-20250219-thinking-32k model is 5.59% percentage worse for text generation compared to o3-2025-04-16.
Rank #6
-5.59%